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Onutoa
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20230817153600

Text Classification
Transformers
PyTorch
bert
generated_from_trainer
Inference Endpoints
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - super_glue
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: '20230817153600'
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 20230817153600
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+
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+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3379
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+ - Accuracy: 0.7726
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.005
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 11
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 60.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | No log | 1.0 | 312 | 0.5320 | 0.5199 |
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+ | 0.6084 | 2.0 | 624 | 0.5060 | 0.5307 |
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+ | 0.6084 | 3.0 | 936 | 0.4765 | 0.4729 |
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+ | 0.4786 | 4.0 | 1248 | 0.3862 | 0.4729 |
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+ | 0.5253 | 5.0 | 1560 | 0.5091 | 0.5343 |
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+ | 0.5253 | 6.0 | 1872 | 0.3768 | 0.4982 |
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+ | 0.5144 | 7.0 | 2184 | 0.4406 | 0.5271 |
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+ | 0.5144 | 8.0 | 2496 | 0.3461 | 0.6318 |
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+ | 0.4407 | 9.0 | 2808 | 0.3480 | 0.6534 |
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+ | 0.4002 | 10.0 | 3120 | 0.3629 | 0.6643 |
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+ | 0.4002 | 11.0 | 3432 | 0.3949 | 0.5560 |
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+ | 0.3576 | 12.0 | 3744 | 0.3366 | 0.7076 |
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+ | 0.346 | 13.0 | 4056 | 0.3302 | 0.7040 |
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+ | 0.346 | 14.0 | 4368 | 0.3293 | 0.7184 |
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+ | 0.337 | 15.0 | 4680 | 0.3301 | 0.7292 |
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+ | 0.337 | 16.0 | 4992 | 0.3398 | 0.7329 |
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+ | 0.3323 | 17.0 | 5304 | 0.3555 | 0.7256 |
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+ | 0.3245 | 18.0 | 5616 | 0.3257 | 0.7040 |
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+ | 0.3245 | 19.0 | 5928 | 0.3257 | 0.7292 |
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+ | 0.3243 | 20.0 | 6240 | 0.3507 | 0.7220 |
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+ | 0.3144 | 21.0 | 6552 | 0.4047 | 0.7184 |
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+ | 0.3144 | 22.0 | 6864 | 0.3620 | 0.7220 |
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+ | 0.3135 | 23.0 | 7176 | 0.3740 | 0.7148 |
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+ | 0.3135 | 24.0 | 7488 | 0.3315 | 0.7437 |
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+ | 0.3063 | 25.0 | 7800 | 0.3291 | 0.7437 |
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+ | 0.2986 | 26.0 | 8112 | 0.3626 | 0.7292 |
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+ | 0.2986 | 27.0 | 8424 | 0.3281 | 0.7401 |
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+ | 0.2956 | 28.0 | 8736 | 0.3376 | 0.7401 |
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+ | 0.2927 | 29.0 | 9048 | 0.3310 | 0.7545 |
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+ | 0.2927 | 30.0 | 9360 | 0.3471 | 0.7437 |
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+ | 0.2853 | 31.0 | 9672 | 0.3205 | 0.7581 |
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+ | 0.2853 | 32.0 | 9984 | 0.3271 | 0.7509 |
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+ | 0.2861 | 33.0 | 10296 | 0.3423 | 0.7509 |
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+ | 0.2782 | 34.0 | 10608 | 0.3328 | 0.7473 |
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+ | 0.2782 | 35.0 | 10920 | 0.3289 | 0.7617 |
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+ | 0.2756 | 36.0 | 11232 | 0.3309 | 0.7581 |
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+ | 0.2758 | 37.0 | 11544 | 0.3741 | 0.7365 |
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+ | 0.2758 | 38.0 | 11856 | 0.3326 | 0.7473 |
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+ | 0.2714 | 39.0 | 12168 | 0.3611 | 0.7184 |
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+ | 0.2714 | 40.0 | 12480 | 0.3352 | 0.7473 |
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+ | 0.2687 | 41.0 | 12792 | 0.3405 | 0.7437 |
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+ | 0.2685 | 42.0 | 13104 | 0.3408 | 0.7365 |
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+ | 0.2685 | 43.0 | 13416 | 0.3414 | 0.7473 |
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+ | 0.2649 | 44.0 | 13728 | 0.3369 | 0.7545 |
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+ | 0.2615 | 45.0 | 14040 | 0.3371 | 0.7545 |
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+ | 0.2615 | 46.0 | 14352 | 0.3428 | 0.7509 |
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+ | 0.2602 | 47.0 | 14664 | 0.3286 | 0.7545 |
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+ | 0.2602 | 48.0 | 14976 | 0.3316 | 0.7581 |
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+ | 0.2595 | 49.0 | 15288 | 0.3401 | 0.7545 |
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+ | 0.2551 | 50.0 | 15600 | 0.3362 | 0.7653 |
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+ | 0.2551 | 51.0 | 15912 | 0.3434 | 0.7653 |
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+ | 0.2574 | 52.0 | 16224 | 0.3302 | 0.7726 |
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+ | 0.2515 | 53.0 | 16536 | 0.3464 | 0.7473 |
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+ | 0.2515 | 54.0 | 16848 | 0.3337 | 0.7690 |
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+ | 0.252 | 55.0 | 17160 | 0.3364 | 0.7690 |
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+ | 0.252 | 56.0 | 17472 | 0.3418 | 0.7509 |
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+ | 0.2497 | 57.0 | 17784 | 0.3407 | 0.7581 |
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+ | 0.2503 | 58.0 | 18096 | 0.3419 | 0.7545 |
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+ | 0.2503 | 59.0 | 18408 | 0.3376 | 0.7762 |
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+ | 0.2504 | 60.0 | 18720 | 0.3379 | 0.7726 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.0
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3